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August 1, 2025British journal of surgery

12 Evaluation of ChatGPT-4 for the detection of surgical site infections from electronic health records after colorectal surgery: a pilot diagnostic study

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Authors

DCDaniel Casanova-PortolésJSJoan Sánchez-de-ToledoEMEstela Membrilla

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Overview

Pilot study evaluates ChatGPT's diagnostic accuracy for surgical site infections in electronic health records, suggesting its potential in reducing manual workload.

Key Points

  • ChatGPT achieved a sensitivity of 100%, correctly identifying all surgical site infections detected by manual methods.
  • The specificity of ChatGPT was 54%, indicating the presence of some false positives that need further refinement.
  • This retrospective analysis included 122 patients who underwent colorectal surgery across multiple centers.
  • Integration of ChatGPT with electronic medical records may enhance real-time surveillance of surgical site infections.

Cite This Study

Casanova-Portolés et al. (2025) studied this question.

synapsesocial.com/papers/68af409acf1dd9ea359ec74bhttps://doi.org/10.1093/bjs/znaf159.010
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 136 Design of an algorithm for the semi-automated detection of surgical site infections in elective colorectal surgery2025
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  5. 5Diagnostic Accuracy of a Large Language Model (ChatGPT-4) for Patients Admitted to a Community Hospital Medical Intensive Care Unit: A Retrospective Case Study2025 · 2 citations